[DMANET] [PSD 2020] PRIVACY IN STATISTICAL DATABASES, Springer LNCS, Arezzo, Italy, Sep. 23-25, 2020

[apologies for cross-posting]

PRIVACY IN STATISTICAL DATABASES 2020 (PSD 2020)
================================================
Arezzo, Italy, Sep. 23-25, 2020

http://unescoprivacychair.urv.cat/psd2020

Submission deadline: **MAY 24, 2020**


1. AIMS AND GOAL
-----------------

Privacy in statistical databases is about finding trade-offs to the
tension between the increasing societal and economical demand for
accurate information and the legal and ethical obligation to protect
the privacy of individuals and enterprises which are the respondents
providing the statistical data. In the case of statistical databases,
the motivation for respondent privacy is one of survival: statistical
agencies or survey institutes cannot expect to collect accurate
information from individual or corporate respondents unless these feel
the privacy of their responses is guaranteed.

Beyond respondent privacy, there are two additional privacy dimensions
to be considered: privacy for the data owners (organizations owning or
gathering the data, who would not like to share the data they have
collected at great expense) and privacy for the users (those who
submit queries to the database and would like their analyses to stay
private).

"Privacy in Statistical Databases 2020" (PSD 2020) is a conference
sponsored and organized by the UNESCO Chair in Data Privacy
(http://unescoprivacychair.urv.cat) with proceedings published by
Springer-Verlag in Lecture Notes in Computer Science. The purpose of
PSD 2020 is to attract world-wide, high-level research in statistical
database privacy.

PSD 2020 is a successor to

- PSD 2018 (Valencia, Sep. 26-28, 2018,
https://unescoprivacychair.urv.cat/psd2018/),

- PSD 2016 (Dubrovnik, Sep. 14-16, 2016,
https://unescoprivacychair.urv.cat/psd2016/),

- PSD 2014 (Eivissa, Sep. 17-19, 2014,
http://unescoprivacychair.urv.cat/psd2014/),

- PSD 2012 (Palermo, Sep. 26-28, 2012,
http://unescoprivacychair.urv.cat/psd2012),

- PSD 2010 (Corfu, Sep. 22-24, 2010,
http://unescoprivacychair.urv.cat/psd2010),

- PSD 2008 (Istanbul, Sep. 24-26, 2008,
http://unescoprivacychair.urv.cat/psd2008),

- PSD 2006 (Rome, Dec. 13-15, 2006,
http://crises-deim.urv.cat/psd2006)

and PSD 2004 (Barcelona, June 9-11, 2004,
http://crises-deim.urv.cat/psd2004),

all with proceedings published by Springer in LNCS 11126, LNCS 9867,
LNCS 8744, LNCS 7556, LNCS 6344, LNCS 5262, LNCS 4302 and LNCS 3050,
respectively. Those nine PSD conferences follow a tradition of
high-quality technical conferences on SDC which started with
"Statistical Data Protection-SDP'98", held in Lisbon in 1998 and with
proceedings published by OPOCE, and continued with the AMRADS project
SDC Workshop, held in Luxemburg in 2001 and with proceedings published
in Springer LNCS 2316.

Like the aforementioned preceding conferences, PSD 2020 originates in
Europe, but wishes to stay a worldwide event in database privacy and
SDC. Thus, contributions and attendees from overseas are welcome.


2. ORGANIZATION
---------------

PROGRAM COMMITTEE (More members to be confirmed soon)

- Jane Bambauer (University of Arizona, USA)
- Bettina Berendt (Katholieke Universiteit Leuven, Belgium)
- Elisa Bertino (CERIAS, Purdue University, USA)
- Aleksandra Bujnowska (EUROSTAT, European Union)
- Jordi Castro (Universitat PolitËcnica de Catalunya)
- Anne-Sophie Charest (UniversitÈ Laval, QuÈbec, Canada)
- Chris Clifton (Purdue University, USA)
- Graham Cormode (University of Warwick, UK)
- Peter-Paul de Wolf (Statistics Netherlands)
- Josep Domingo (Universitat Rovira i Virgili, Catalonia)
- Joerg Drechsler (IAB, Germany)
- Khaled El Emam (University of Ottawa, Canada)
- Mark Elliot (Manchester University, UK)
- SÈbastien Gambs (UniversitÈ du QuÈbec ‡ MontrÈal)
- Sarah Giessing (Destatis, Germany)
- Hiroaki Kikuchi (Meiji University, Japan)
- Bradley Malin (Vanderbilt University, USA)
- Laura McKenna (Census Bureau, USA)
- Anna Monreale (Universit‡ di Pisa, Italy)
- Krish Muralidhar (The University of Oklahoma, USA)
- Anna Oganyan (National Center for Health Statistics, USA)
- David Rebollo (Universitat Rovira i Virgili, Catalonia)
- Jerry Reiter (Duke University, USA)
- Yosef Rinott (Hebrew University, Israel)
- Steven Ruggles (University of Minnesota, USA)
- Nicolas Ruiz (OECD, European Union)
- Pierangela Samarati (University of Milan, Italy)
- David S·nchez (Universitat Rovira i Virgili, Catalonia)
- Eric Schulte-Nordholt (Statistics Netherlands)
- Natalie Shlomo (University of Manchester, UK)
- Aleksandra Slavkovic (Penn State University, USA)
- Jordi Soria-Comas (Catalan Data Protection Authority, Catalonia)
- Tamir Tassa (The Open University, Israel)
- Vicenc Torra (National University of Ireland-Maynooth, Ireland)
- Lars Vilhuber (Cornell University, USA)


PROGRAM CHAIR

- Josep Domingo-Ferrer (UNESCO Chair in Data Privacy, Universitat Rovira
i Virgili, Catalonia)

GENERAL CHAIR

- Krishnamurty Muralidhar (The University of Oklahoma, USA)

ORGANIZATION COMMITTEE

- Joaquin Garcia-Alfaro (Telecom SudParis, France)
- Giulia Lombardi (The University of Oklahoma, Italy)
- Jesus Manjon (Universitat Rovira i Virgili, Catalonia)
- Romina Russo (Universitat Rovira i Virgili, Catalonia)


3. TOPICS OF INTEREST
---------------------

Topics of interest include but are not limited to:

- New anonymization methods for tabular data
- New anonymization methods for microdata (including non-conventional
microdata types such as trajectories, graphs, etc.)
- Best anonymization practices for tabular data
- Best anonymization practices for microdata
- Co-utility for privacy preservation
- Big data anonymization
- Streaming data anonymization
- Decentralized anonymization
- Balancing data quality and data confidentiality in SDC
- Differential privacy and other privacy models
- SDC transparency issues
- Onsite access centers
- Remote access facilities
- SDC software
- Estimating disclosure risk in SDC
- Record linkage methods
- Real-life disclosure scenarios in EU-member states and abroad
- Privacy preserving data mining (both cryptographic and non-cryptographic)
- Private information retrieval
- Privacy in web-based e-commerce
- Privacy in healthcare
- Privacy in official and corporate statistics
- Other data anonymization issues


4. SUBMISSIONS
--------------

Full papers containing either original technical contributions or
high-quality surveys on the above topics or on related topics are
sought.

Camera-ready versions of accepted papers should be prepared using the
LaTeX2estyle or the Word template of Springer Verlag Lecture Notes in
ComputerScience. For LaTeX2e, a macro package llncs.zip and an example
file typeinst.zip can be downloaded from
https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines.
For Microsoft Word, a template word.zip can be downloaded from the
same page above.

We encourage authors to use the above formats already for their
submissions.

LENGTH OF SUBMISSIONS.

Using the above format with 11 point font, the paper should be at most
12 pages excluding bibliography and appendices, and at most 16 pages
total. Committee members are not required to read appendices; the
paper should be intelligible without them. Submissions not meeting
these guidelines risk rejection without consideration of their merits.


5. PROCEEDINGS
--------------

Among PSD 2020 accepted papers, a selection will be made based on
quality and coverage and the selected papers will be published in the
Lecture Notes in Computer Science (LNCS) series by Springer. This
follows the tradition of the previous PSD conferences.

The remaining accepted papers will be published in a USB with an ISBN.
It is possible to submit a paper directly for the USB, which benefits
from a later submission deadline (see USB-only dates below).

The form of publication of an accepted paper will be clearly specified
in the acceptance message. Both the LNCS volume and the CD will be
*available at the conference*.


6. IMPORTANT DATES
------------------

Submission deadline: **MAY 24, 2020**
Acceptance notification: June 26, 2020
Proceedings version due: July 5, 2020

USB-only submission deadline: July 5, 2020
USB-only acceptance notification: July 15, 2020
USB-only proceedings version due: July 22, 2020

Conference: Sep. 23-25, 2020


7. VENUE AND TRAVEL
-------------------

The conference will take place at the San Francesco classroom annex of
the 'Oklahoma University in Arezzo' facilities, located in the city of
Arezzo.

OU in Arezzo. San Francesco Classroom annex
Piazza San Francesco, 18
Arezzo, Italy 52100

http://www.ou.edu/cis/education_abroad/programs/ou-in-arezzo

Further venue, travel and accommodation information will be posted in
due course at http://unescoprivacychair.urv.cat/psd2020

A number of travel grants are made available by the UNESCO Chair in
Data Privacy, especially for authors and delegates from transition
countries. Information on grants is posted in the conference web site.


8. REGISTRATION
---------------

Registration information will be posted no later than June 2020 at
http://unescoprivacychair.urv.cat/psd2020


**********************************************************
*
* Contributions to be spread via DMANET are submitted to
*
* DMANET@zpr.uni-koeln.de
*
* Replies to a message carried on DMANET should NOT be
* addressed to DMANET but to the original sender. The
* original sender, however, is invited to prepare an
* update of the replies received and to communicate it
* via DMANET.
*
* DISCRETE MATHEMATICS AND ALGORITHMS NETWORK (DMANET)
* http://www.zaik.uni-koeln.de/AFS/publications/dmanet/
*
**********************************************************